Instahyre Jobs Scraper
Pricing
$2.00 / 1,000 job listing results
Scrape Instahyre India tech job listings by function, skill, location, company size and job type, with descriptions and new/updated/removed tracking.
Words or phrases to look for in the job title, skills list or company name (case-insensitive, any match). Leave empty to skip keyword matching.
Cities to keep, e.g. Bangalore, Gurgaon, Hyderabad, Pune, Work From Home (or 'remote'). A job matches when any of these appears in its location list. Leave empty for all of India.
Instahyre job functions to include, by name or numeric id, e.g. Backend Development, Full-Stack Development, Data Science / Machine Learning, DevOps / Cloud, Product Management. Partial names match every function containing them (e.g. 'development').
Exact skill names as they appear on Instahyre listings, e.g. React.js, Node.js, Python, AWS. Matching is case-insensitive and a job needs any one of them. Partial names do not match — use Keywords for fuzzy matching.
Only return jobs from these employers (exact company names as shown on Instahyre, e.g. Amazon, Accenture).
Employer industries to include, by name or numeric id, e.g. Software / IT, Banking / Financial Services, E-Commerce. Partial names match every industry containing them.
Employment type to include. Leave empty (or select both) for all jobs.
Employer size buckets to include: small (under 50 employees), medium (50-199) or large (200+). Leave empty for all sizes.
Seniority buckets to include, as classified by Instahyre. Leave empty for all levels.
Keep jobs whose required experience range reaches at least this many years. Needs the per-job page, so it automatically turns on 'Enrich details'.
Keep jobs whose required experience range starts at or below this many years. Needs the per-job page, so it automatically turns on 'Enrich details'.
Maximum number of job records to return in this run. Set 0 for unlimited (the full filtered feed).
Fetch each job's public page to add the full description, posted date, required experience range, job function and employer website. Slower (one extra request per job).
Compare this run against the previous snapshot stored under the Monitor key and flag every record as new, updated, unchanged or removed.
